Transforming IT Operations through Artificial Intelligence

Artificial intelligence is moving from a science fiction concept to real-world application in the field of IT Operations.

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In case you missed it, HCL, Moogsoft and Alsbridge came together on July 6th to present a webinar titled Transforming IT Operations through Artificial Intelligence. The webinar was led by Kalyan Kumar (EVP and CTO, HCL), Phil Tee (Chairman and CEO, Moogsoft Inc.), and Mark Davison (Director, RPA and Outsource Advisory Practice, Alsbridge).

This hour long session focused on the challenges imposed on IT Operations with the adoption of new technologies such as Cloud, Software Defined Infrastructures (SDI), Mobile, and the Internet of Things (IoT). Legacy monitoring tools and services simply cannot scale to address the complex and dynamic outputs of these modern IT architectures. However, when your IT infrastructure is enabled with self-serving, self-healing and preventive capabilities, IT Operations can be liberated from repetitive operational tasks. In addition to massively reducing costs associated with IT Operations, leveraging artificial intelligence furthermore eradicates human errors that are often the primary cause of major IT incidents.

From Science Fiction to Data Science

As Kalyan (KK) explains, we are starting to see a fundamental shift in technology towards singularity. Artificial intelligence is now being moved from a science fiction concept to being really applied in IT Operations. Traditionally, IT Operations has focused on getting people to operate more efficiently. Processes are run by people to support technology. The fundamental shift today, largely led by Managed Service Providers taking a platform-centric approach, is an evolution towards a robotic first approach, as opposed to human first. It’s a move away from reactive to proactive and preventive to improve the end-user experience. This involves shifting from the traditional operational model, which was all around the pyramid and a task-centric approach, towards a more outcome-centric approach by leveraging the power of automation, cognitive and machine-learning capabilities.

As a pioneer in the fault management space, Phil Tee explains how enterprises and service providers are being forced to change the way they do business. With the adoption of next-generation infrastructure, the digitization of the enterprise, the need for continuous delivery and dramatically increasing costs, legacy operations cannot cope. This explains why Forrester Research has reported that 74% of IT incidents are detected by customers before tools. If you think of this in the context of the digitization of the enterprise, impacting your customers with reliability issues is the best way to lose to your competition. The way forward is to loosen your constraints and leverage algorithms that can make sense of activity in highly unpredictable environments. Moogsoft has pioneered many novel techniques to assist IT operations in this shift towards digitization, including areas of NMF (Non-Negative Matrix Factorization), Clustering Algorithms, Deep Learning, and Entropy Calculation. To see these techniques in action, you can access a free trial of Moogsoft’s Incident.MOOG.

Moogsoft is a pioneer and leading provider of AIOps solutions that help IT teams work faster and smarter. With patented AI analyzing billions of events daily across the world’s most complex IT environments, the Moogsoft AIOps platform helps the world’s top enterprises avoid outages, automate service assurance, and accelerate digital transformation initiatives.

About the Author

Sahil Khanna is a Sr. Product Marketing Manager at Moogsoft, where he focuses on the emergence of Algorithmic IT Operations. In his free time, Sahil enjoys banging on drums and participating in high-stakes bets.